Papers
Live trends in quantum computing research, updated daily from arXiv.
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31,714
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Research Volume
15,749 papers in 12 months (-37% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Analysis of Quantum Approximate Optimization Algorithm under Realistic Noise in Superconducting Qubits
M. Alam, Abdullah Ash-Saki, Swaroop Ghosh·Jul 13, 2019
The quantum approximate optimization algorithm (QAOA) is a promising quantum-classical hybrid technique to solve combinatorial optimization problems in near-term gate-based noisy quantum devices. In QAOA, the objective is a function of the quantum st...
π-Corrected Heisenberg Limit.
Wojciech Górecki, R. Demkowicz-Dobrzański, H. Wiseman +1 more·Jul 11, 2019
We consider the precision Δφ with which the parameter φ, appearing in the unitary map U_{φ}=e^{iφΛ}, acting on some type of probe system, can be estimated when there is a finite amount of prior information about φ. We show that, if U_{φ} acts n times...
Automated analysis of single-tone spectroscopic data for cQED systems
G. Fedorov, A. Ustinov·Jul 11, 2019
Physical systems for quantum computation require calibration of the control parameters based on their physical characteristics by performing a chain of experiments that gather most precise information about the given device. It follows that there is ...
Learning to learn with quantum neural networks via classical neural networks
Guillaume Verdon, M. Broughton, J. McClean +5 more·Jul 11, 2019
Quantum Neural Networks (QNNs) are a promising variational learning paradigm with applications to near-term quantum processors, however they still face some significant challenges. One such challenge is finding good parameter initialization heuristic...
Quantum and classical algorithms for approximate submodular function minimization
Yassine Hamoudi, P. Rebentrost, A. Rosmanis +1 more·Jul 11, 2019
Submodular functions are set functions mapping every subset of some ground set of size n into the real numbers and satisfying the diminishing returns property. Submodular minimization is an important field in discrete optimization theory due to its r...
2-designs and redundant syndrome extraction for quantum error correction
Vickram N. Premakumar, H. Sha, D. Crow +2 more·Jul 10, 2019
Imperfect measurement can degrade a quantum error correction scheme. A solution that restores fault tolerance is to add redundancy to the process of syndrome extraction. In this work, we show how to optimize this process for an arbitrary ratio of dat...
Experimental exploration of five-qubit quantum error-correcting code with superconducting qubits
M. Gong, Xiao Yuan, Shiyu Wang +19 more·Jul 10, 2019
Abstract Quantum error correction is an essential ingredient for universal quantum computing. Despite tremendous experimental efforts in the study of quantum error correction, to date, there has been no demonstration in the realisation of universal q...
Improving Variational Quantum Optimization using CVaR
P. Barkoutsos, G. Nannicini, A. Robert +2 more·Jul 10, 2019
Hybrid quantum/classical variational algorithms can be implemented on noisy intermediate-scale quantum computers and can be used to find solutions for combinatorial optimization problems. Approaches discussed in the literature minimize the expectatio...
Universal quantum computing using single-particle discrete-time quantum walk
Shivani Singh, Prateek Chawla, Anupam Sarkar +1 more·Jul 9, 2019
Quantum walk has been regarded as a primitive to universal quantum computation. In this paper, we demonstrate the realization of the universal set of quantum gates on two- and three-qubit systems by using the operations required to describe the singl...
Set of holonomic and protected gates on topological qubits for a realistic quantum computer
A. Klots, L. Ioffe·Jul 9, 2019
In recent years qubit designs such as transmons approached the fidelities of up to 0.999. However, even these devices are still insufficient for realizing quantum error correction requiring better than 0.9999 fidelity. Topologically protected superco...
Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning
I. Glasser, R. Sweke, Nicola Pancotti +2 more·Jul 8, 2019
Tensor-network techniques have enjoyed outstanding success in physics, and have recently attracted attention in machine learning, both as a tool for the formulation of new learning algorithms and for enhancing the mathematical understanding of existi...
Quantum Computers as Universal Quantum Simulators: State‐of‐the‐Art and Perspectives
F. Tacchino, A. Chiesa, S. Carretta +1 more·Jul 8, 2019
The past few years have witnessed the concrete and fast spreading of quantum technologies for practical computation and simulation. In particular, quantum computing platforms based on either trapped ions or superconducting qubits have become availabl...
Error-run-time trade-off in the adiabatic approximation beyond scaling relations
M.R. Passos, M. M. Taddei, R. L. de Matos Filho·Jul 8, 2019
The use of the adiabatic approximation in practical applications, as in adiabatic quantum computation, demands an assessment of the errors made in finite-time evolutions. Aiming at such scenarios, we derive bounds relating error and evolution time in...
Detecting and Directing Single Molecule Binding Events on H-Si(100) with Application to Ultradense Data Storage.
R. Achal, M. Rashidi, Jeremiah Croshaw +2 more·Jul 7, 2019
Many diverse material systems are being explored to enable smaller, more capable and energy efficient devices. These bottom up approaches for atomic and molecular electronics, quantum computation, and data storage all rely on a well-developed underst...
Quantum Key Distribution Based on the Quantum Eraser
T. Elsayed·Jul 7, 2019
Quantum information and quantum foundations are becoming popular topics for advanced undergraduate courses. Many of the fundamental concepts and applications in these two fields, such as delayed choice experiments and quantum encryption, are comprehe...
Measurement optimization in the variational quantum eigensolver using a minimum clique cover.
Vladyslav Verteletskyi, Tzu-Ching Yen, A. Izmaylov·Jul 7, 2019
Solving the electronic structure problem using the Variational Quantum Eigensolver (VQE) technique involves the measurement of the Hamiltonian expectation value. The current hardware can perform only projective single-qubit measurements, and thus, th...
A Quantum Algorithm for Finding $k$-Minima
K. Miyamoto, M. Iwamura, K. Kise·Jul 7, 2019
We propose a new finding $k$-minima algorithm and prove that its query complexity is $\mathcal{O}(\sqrt{kN})$, where $N$ is the number of data indices. Though the complexity is equivalent to that of an existing method, the proposed is simpler. The ma...
Oracle Separations Between Quantum and Non-interactive Zero-Knowledge Classes
B. Morrison, Adam Groce·Jul 6, 2019
We study the relationship between problems solvable by quantum algorithms in polynomial time and those for which zero-knowledge proofs exist. In prior work, Aaronson [arXiv:quant-ph/0111102] showed an oracle separation between BQP and SZK, i.e. an or...
Credit Risk Analysis Using Quantum Computers
D. Egger, Ricardo García Gutiérrez, Jordi Cahu'e Mestre +1 more·Jul 5, 2019
We present and analyze a quantum algorithm to estimate credit risk more efficiently than Monte Carlo simulations can do on classical computers. More precisely, we estimate the economic capital requirement, i.e. the difference between the Value at Ris...
Faking and Discriminating the Navigation Data of a Micro Aerial Vehicle Using Quantum Generative Adversarial Networks
M. Barbeau, Joaquín García·Jul 5, 2019
We show that the Quantum Generative Adversarial Network (QGAN) paradigm can be employed by an adversary to learn generating data that deceives the monitoring of a Cyber- Physical System (CPS) and to perpetrate a covert attack. As a test case, the ide...